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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

19Open Positions

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  • Working Student Data Engineer (f/m/d)

    Porsche
    Timisoara, Romania
    Found 1 month ago
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  • Propulsion Test Engineer Intern (F/M/X)

    ISPTech
    Ludwigsburg, Germany
    Found 2 months ago
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    ottofuchskg
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  • Schülerpraktikum (all genders)

    MTU Aero Engines AG
    Langenhagen, Germany
    Found 3 months ago
  • Schülerpraktikum

    MTU Aero Engines AG
    Langenhagen, Germany
    Found 3 months ago
  • Schülerpraktikum (all genders)

    MTU Aero Engines AG
    Langenhagen, Germany
    Found 3 months ago

Working Student Data Engineer (f/m/d)

Porsche
Found 1 month ago
Location
Timisoara, Romania
Time
Not disclosed
Work Mode
Not disclosed
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Bachelor
  • Master

Skills & Qualifications

Technical Skills

  • Python
  • SQL
  • ETL
  • Azure Data Factory
  • Azure Data Lake Storage
  • Azure Synapse Analytics
  • Azure Databricks

Soft Skills

  • communication
  • teamwork

Job Description

The Data Engineer roles at Porsche Engineering Romania are essential to digitalization transformation, providing the technical foundation for AI solutions. Working in a SAFe environment, these roles support digital transformation by designing data models, building reliable data pipelines, and ensuring high data quality. * You will support data migration from on-premise systems to cloud-based data platforms * You will assist in the design and implementation of application data models in cloud environments * You will contribute to data ingestion, transformation, and integration pipelines (batch and near real time) * You will help adapt existing ETL processes to Azure-native services * You will support data quality, validation, and lineage activities during migration * You will contribute to cloud data architecture orchestration under guidance * You will collaborate with cross-functional and international project teams * You will document solutions and follow data engineering best practices

Requirements

  • Ongoing Bachelor’s or Master’s degree in information technology or an equivalent education
  • You have basic understanding of the software development lifecycle, with interest in data pipelines and analytics
  • You have programming knowledge in Python (and/or SQL)
  • You have good understanding of ETL concepts (extract, transform, load)
  • You have an advantage for basic knowledge of Microsoft Azure fundamentals and familiarity with one or more Azure data services, such as: Azure Data Factory, Azure Data Lake Storage, Azure Synapse Analytics, Azure Databricks
  • You have interest or basic exposure to real-time or event-based ETL pipelines
  • You have strong communication and teamwork skills
  • You speak English fluently; knowledge of German is considered a plus

Related Field

  • Software Engineering

Related Subfield

  • Backend Engineering

Languages

  • English

Nice to Haves

  • German
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